Food research international (Ottawa, Ont.)
Mar 25, 2026
Daqu, a fermentation starter for traditional fermented foods, is produced by complex microbial communities; it is generally evaluated using conventional methods based on subjective sensory perception and limited physicochemical indicators. These appr... read more
Delusions, including persecutory beliefs, are theorised to arise from multifaceted interacting mechanisms. In our previous machine-learning study, 55 theory-derived predictors appeared to better account for lower levels of persecutory beliefs, wherea... read more
The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fully in-person international meeting and served as the official launch platform for the ERC Resuscitation Guidelines 2025. The congress brought togethe... read more
Neutral persistent, mobile, and toxic (PMT) chemicals are an emerging regulatory concern, because they can contaminate drinking water resources. The organic carbon sorption coefficient (KOC) is widely used as a mobility indicator for neutral organic ... read more
OBJECTIVES: To quantify long-term (≥ 5 years) implant survival after lateral sinus floor elevation (LSFE) and to identify clinical predictors of long-term survival using conventional and machine-learning meta-analytic techniques. METHODS: A systemati... read more
We present the W1-SN2-BH database, a large-scale kinetic benchmark set of all-electron CCSD(T)/CBS reference barrier heights for 1881 nucleophilic substitution (SN2) reactions calculated via the high-level W1w theory. The data set covers the chemical... read more
Zhonghua wai ke za zhi [Chinese journal of surgery]
Mar 25, 2026
Distal biliary strictures (DBS) are a common and complex clinical problem in pancreaticobiliary diseases,with etiologies involving multiple factors such as inflammation,benign fibrous strictures,and malignant tumors. Differentiating between benign an... read more
Electrochemical synthesis offers a sustainable route for chemical production, and integrating artificial intelligence (AI) into electrocatalyst design promises to accelerate the development of efficient processes. Herein, we report an AI-agent-assist... read more
There is a growing necessity for edge training to adapt to dynamically changing environments. Neuromorphic computing represents a significant pathway for highly efficient intelligent computation in energy-constrained edges, but existing neuromorphic ... read more
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